Rami Al-Rfou is a Member of Technical Staff at OpenAI, where he is a founding member of the robotics effort and leads work on embodied foundation models.

Previously, Rami was a Senior Staff Research Scientist at Waymo Research, where he led foundational motion modeling work for forecasting and planning. His team developed scalable transformer-based approaches for motion prediction, scaling laws, and efficient distillation methods for deployment.

Before Waymo, Rami was a Staff Research Scientist at Google Research. He led and contributed to multilingual and token-free language modeling work including mT5, ByT5, and prompt tuning, and helped deploy assisted writing systems such as SmartReply and SmartCompose across Google products.

Rami received his PhD in Computer Science from Stony Brook University under the supervision of Prof. Steven Skiena. His research has focused on large-scale representation learning across language, graphs, and embodied systems.